System model for integration of wearable smart device data into a central health information system

doctoral thesis

• Title (croatian): Model sustava za prihvat mjernih podataka nosivih pametnih uređaja u središnji zdravstveni informacijski sustav
• Author: Ana Koren
• Mentor: Marko Jurčević (mentor)
• Committee member: Krešimir Fertalj (predsjednik povjerenstva)
• Committee member: Darko Huljenić (član povjerenstva)
• Committee member: Ramjee Prasad (član povjerenstva); VIAF: 81669203
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Electrical Engineering Fundamentals and Measurements); Zagreb
• Defense date and country: 2023, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

The area of research is related to the issue of including personalized health data collected via the Internet of Medical Things (IoMT) devices, such as personal tracking devices, into the Electronic Health Record (EHR) that today constitutes part of the central health information systems of most European countries.
In order for the collected data to be used in EHR, it is necessary to guarantee its quality and inviolability. Therefore, data cleaning and processing is necessary. As part of the scientific work, a comparison of different models of health data cleaning has been performed. A method for optimizing selected models of data cleaning and data transformation with the aim of improving accuracy and precision has been proposed.
Furthermore, data compliance with existing standards and regulations must be ensured, which has been achieved by defining semantic constraints and validation processes via a schematron, a structural schema expressed in XML.
Finally, these components were integrated as modules into a central health system model that would allow the use of IoMT data in EHR.

Abstract (croatian)

Područje istraživanja povezano je s pitanjem uključivanja personaliziranih zdravstvenih podataka prikupljenih putem uređaja Internet of Medical Things (IoMT), poput osobnih uređaja za praćenje, u elektronički zdravstveni karton (EHR) koji danas čini dio središnjeg zdravstvenog informacijski sustavi većine europskih zemalja.
Kako bi se prikupljeni podaci mogli koristiti u EHR-u, potrebno je jamčiti njihovu kvalitetu i nepovredivost. Stoga je potrebno čišćenje i obrada podataka. U sklopu znanstvenog rada provedena je usporedba različitih modela čišćenja zdravstvenih podataka. Predložena je metoda optimizacije odabranih modela čišćenja i transformacije podataka s ciljem povećanja točnosti i preciznosti. Nadalje, mora se osigurati usklađenost podataka s postojećim standardima i propisima, što je postignuto definiranjem semantičkih ograničenja i procesa validacije putem shematrona, strukturne sheme izražene u XML-u.
Konačno, te su komponente integrirane kao moduli u model središnjeg zdravstvenog sustava koji bi omogućio korištenje IoMT podataka u EHR-u

• Keywords: internet of medical things; electronic health records; sensors; standardization
• Keywords (croatian): internet of medical things; electronic health records; senzori; standardizacija
• Language: english
• URN:NBN: urn:nbn:hr:168:378508
• Study programme: Title: Computer Science; Study programme type: university; Study level: postgraduate; Academic / professional title: Doktor znanosti (Doktor znanosti)
• Catalog URL: https://publib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=54429
• Type of resource: Text
• Extent: 149 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-05-03 07:15:39